A Comparison of Evolutionary Computation Techniques for IIR Model Identification. - Erik Cuevas; Jorge Gálvez; Salvador Hinojosa; Omar Ávalos; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros (J. Appl. Math., 2014)

Induction Motor Parameter Identification Using a Gravitational Search Algorithm. - Omar Ávalos; Erik Cuevas; Jorge Gálvez (Comput., 2016)

Parameter Estimation for Chaotic Fractional Systems by Using the Locust Search Algorithm. - Erik Cuevas; Jorge Gálvez; Omar Ávalos (Computación y Sistemas, 2017)

Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm. - Diego Oliva; Salvador Hinojosa; Erik Cuevas; Gonzalo Pajares; Omar Ávalos; Jorge Gálvez (Expert Syst. Appl., 2017)

Flower Pollination Algorithm for Multimodal Optimization. - Jorge Gálvez; Erik Cuevas; Omar Ávalos (Int. J. Comput. Intell. Syst., 2017)

Remote sensing imagery segmentation based on multi-objective optimization algorithms. - Salvador Hinojosa; Omar Ávalos; Jorge Gálvez; Diego Oliva; Erik Cuevas; Marco Antonio Pérez Cisneros (LA-CCI, 2018)

Nonlinear system identification based on ANFIS-Hammerstein model using Gravitational search algorithm. - Erik Cuevas; Primitivo Díaz; Omar Ávalos; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros (Appl. Intell., 2018)

Electromagnetism-like mechanism with collective animal behavior for multimodal optimization. - Jorge Gálvez; Erik Cuevas; Omar Ávalos; Diego Oliva; Salvador Hinojosa (Appl. Intell., 2018)

Unassisted thresholding based on multi-objective evolutionary algorithms. - Salvador Hinojosa; Omar Ávalos; Diego Oliva; Erik Cuevas; Gonzalo Pajares; Daniel Zaldivar 001; Jorge Gálvez (Knowl. Based Syst., 2018)

Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. - Salvador Hinojosa; Diego Oliva; Erik Cuevas; Gonzalo Pajares; Omar Ávalos; Jorge Gálvez (Neural Comput. Appl., 2018)

Correction to: Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. - Salvador Hinojosa; Diego Oliva; Erik Cuevas; Gonzalo Pajares; Omar Ávalos; Jorge Gálvez (Neural Comput. Appl., 2018)

A Comparative Study of Evolutionary Computation Techniques for Solar Cells Parameter Estimation. - Omar Ávalos; Erik Valdemar Cuevas Jiménez; Arturo Valdivia-Gonzalez; Jorge Gálvez; Salvador Hinojosa; Daniel Zaldivar 001; Diego Oliva (Computación y Sistemas, 2019)

A reactive model based on neighborhood consensus for continuous optimization. - Jorge Gálvez; Erik Cuevas; Salvador Hinojosa; Omar Ávalos; Marco Antonio Pérez Cisneros (Expert Syst. Appl., 2019)

A hybrid optimization approach based on clustering and chaotic sequences. - Jorge Gálvez; Erik Cuevas; Héctor M. Becerra 002; Omar Ávalos (Int. J. Mach. Learn. Cybern., 2020)

Recent Metaheuristics Algorithms for Parameter Identification - Erik Cuevas; Jorge Gálvez; Omar Ávalos (Springer, 2020)

A mean shift segmentation scheme using several pixel characteristics. - Erik Cuevas; Jorge Gálvez; Omar Ávalos; Ángel Chavarin (Comput. Electr. Eng., 2021)

An accurate Cluster chaotic optimization approach for digital medical image segmentation. - Omar Ávalos; Ernesto Ayala; Fernando Wario; Marco Antonio Pérez Cisneros (Neural Comput. Appl., 2021)

Contrast Enhancement in Images by Homomorphic Filtering and Cluster-Chaotic Optimization. - Ángel Chavarin; Erik Cuevas; Omar Ávalos; Jorge Gálvez; Marco Antonio Pérez Cisneros (IEEE Access, 2023)

Analysis and Comparison of Metaheuristics - Erik Cuevas; Omar Ávalos; Jorge Gálvez (Springer, 2023)

An accurate flexible process planning using an adaptive genetic algorithm. - Eduardo H. Haro; Omar Ávalos; Octavio Camarena; Erik Cuevas (Neural Comput. Appl., 2023)

An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors. - Héctor Escobar-Cuevas; Erik Cuevas; Karla Avila; Omar Ávalos (Comput. Appl. Math., 2024)

Optimizing trigger timing in minimal ovarian stimulation for In Vitro fertilization using machine learning models with random search hyperparameter tuning. - Nayeli Areli Pérez-Padilla; Rodolfo Garcia-Sanchez; Omar Ávalos; Jorge Gálvez; Minglei Bian; Liang Yu; Yimin Shu; Ming Feng; Frank D. Yelian (Comput. Biol. Medicine, 2024)

Improved crow search algorithm for optimal flexible manufacturing process planning. - Omar Ávalos; Eduardo H. Haro; Octavio Camarena; Primitivo Díaz (Expert Syst. Appl., 2024)

A cluster chaotic optimization for solving power loss and voltage profiles problems on electrical distribution networks. - Primitivo Díaz; Eduardo H. Haro; Omar Ávalos; Nayeli Areli Pérez-Padilla (Knowl. Based Syst., 2025)

Improving the selection of differential evolution through a quartile-based ranked operator. - Eduardo H. Haro; Diego Oliva; Ángel Casas-Ordaz; Elivier Reyes-Dávila; Omar Ávalos (Int. J. Mach. Learn. Cybern., 2025)